fit_and_predict: Calculate predicted value for weights.

In adayim/causalMed: Causal Mediation Analysis in Survival settings

Description

Calculate predicted value for weights.

Usage

fit_and_predict(
  data,
  a_bar = NULL,
  exposure.var,
  family,
  mod,
  is_aform = FALSE
)

Arguments

data	Data to be used to fit model.
a_bar	Intervention value on exposure.
exposure.var	A vector of exposure variables, including lagged exposure variables.
family	Model link function, gussian,binomial and multinomial. For multinomial model, multinom will be sued for model fitting. And glm for gussian and binomial link funciton model.
mod	A formula string.
is_aform	Indication of model for exposure or censoring, defualt is for mediator model.

Value

Returns a predicted numerical vector.

adayim/causalMed documentation built on June 2, 2020, 4:11 p.m.